Senior Consultant- Data Analytics & AI

Senior Consultant – Data Analytics & AI is responsible for designing and implementing cutting-edge analytics and AI solutions to help clients harness the power of their data. This role requires deep expertise in data analytics and AI, cloud-based platforms, with a strong emphasis on Microsoft Fabric. Lead data initiatives, optimize data pipelines, and develop AI-driven solutions that enhance business decision-making and operational efficiency.

Key Responsibilities:

Data Analytics & AI Solutions Development:

• Design and implement data analytics to support client business needs.

• Develop scalable data architectures, ETL/ELT pipelines, and real-time analytics solutions using Microsoft Fabric.

• Optimize data integration workflows using Microsoft One Lake, Synapse Data Engineering, and Data Factory.

• Implement AI-driven automation, predictive modeling, and machine learning solutions.

• Ensure data accuracy, consistency, and reliability across cloud and on-premises environments.

Microsoft Fabric & Cloud Expertise:

• Leverage Microsoft Fabric’s suite of tools, Data Warehouse, Data Factory, Power BI, and Lakehouse architecture.

• Optimize data pipelines and analytics workflows for performance, cost efficiency, and scalability.

• Ability to guide clients in Microsoft Power BI data modeling, dashboard development, and AI-powered insights.

• Stay updated on Microsoft Fabric innovations, AI Copilot, and emerging data capabilities.

Client Engagement & Advisory:

• Act as a trusted advisor to clients, understanding their business needs and recommending tailored data solutions.

• Provide best practices on data governance, compliance, security, and responsible AI adoption.

• Translate technical concepts into clear, actionable business insights for non-technical audiences.

Project Delivery & Execution:

• Develop end-to-end analytics, ensuring timely and high-quality deliverables.

• Collaborate with cross-functional teams.

• Monitor project risks, troubleshoot technical challenges, and proactively mitigate roadblocks.

• Ensure documentation, training, and knowledge transfer for sustainable analytics adoption.

Qualifications &

Experience:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Business Analytics, or a related field.

• 3+ years of experience in data analytics, AI, or cloud-based data engineering, with at least 2 years in a consulting role.

• Hands-on experience with Microsoft Fabric, including Synapse Analytics, Data Factory, One Lake, and Power BI is ideal.

• Strong proficiency in SQL, Python, or R for data manipulation and AI development.

• Experience with Azure services (Data Lake, Azure ML, Cognitive Services, Databricks, or Power Automate).

• Proven ability to design analytics solutions, optimize data pipelines, and drive business impact.

• Excellent problem-solving, communication, and stakeholder management skills.

Additional Qualifications:

• Microsoft Fabric or Azure certifications (e.g., Azure Data Engineer Associate, Azure AI Engineer).

• Experience with AI-powered analytics, NLP, and large-scale machine learning model deployment.

• Knowledge of data governance, security best practices, and compliance regulations.